Sandra Pozzer, Gabriel Ramos, Parham Nooralishahi, Ehsan Rezazadeh Azar, Ahmed El Refai, Fernando López, Clemente Ibarra-Castanedo, Xavier Maldague
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引用次数: 0
Abstract
This paper presents a framework that integrates passive infrared thermography (IRT) results with building information modeling (BIM) to improve subsurface delamination inspection in concrete infrastructures. The paper combines solar analysis with BIM for better thermography inspection planning and documents thermographic data on delamination within BIM environment using a semi-automatic AI procedure for delamination identification. The framework was tested on two case studies: one laboratory sample with inserted delaminations and one real-scale concrete structure. As a result, besides the increase in communication related to data visualization and centralization, the volume of the delivered data and the analysis time was reduced through the application of the proposed method. The findings promote better collaboration between the civil engineering and inspection industries, utilizing advanced nondestructive techniques for detecting concrete delamination. This approach improves planning, analysis, visualization, reporting, and data storage for passive IRT inspections, benefiting infrastructure stakeholders and streamlining maintenance management.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.